activity
20192026
most citedJOINUS: A User-friendly Open-source Software to Simulate Digital Superconductor Circuits

12 citations · 86 across the 23 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

cond-mat.supr-con2023

Efficient Superconductor Arithmetic Logic Unit for Ultra-Fast Computing

Sasan Razmkhah, Ali Bozbey

We present a 4-bit Arithmetic Logic Unit (ALU) utilizing superconductor technology. The ALU serves as the central processing unit of a processor, performing crucial arithmetic and…

cond-mat.supr-con2023★ 7 cited

Hybrid Synaptic Structure for Spiking Neural Network Realization

Sasan Razmkhah, Mustafa Altay Karamuftuoglu, Ali Bozbey

Neural networks and neuromorphic computing play pivotal roles in deep learning and machine vision. Due to their dissipative nature and inherent limitations, traditional semiconduct…

cond-mat.supr-con2023★ 1 cited

Superconductor Logic Implementation with All-JJ Inductor-Free Cell Library

Haolin Cong, Sasan Razmkhah, Mustafa Altay Karamuftuoglu +1

Single flux quantum (SFQ) technology has garnered significant attention due to its low switching power and high operational speed. Researchers have been actively pursuing more adva…

cs.ET2023★ 4 cited

Design of a Superconducting Multiflux Non-Destructive Readout Memory Unit

Beyza Zeynep Ucpinar, Yasemin Kopur, Mustafa Altay Karamuftuoglu +2

Due to low power consumption and high-speed performance, superconductor circuit technology has emerged as an attractive and compelling post-CMOS technology candidate. However, the…

cs.NE2023★ 8 cited

An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks

Beyza Zeynep Ucpinar, Mustafa Altay Karamuftuoglu, Sasan Razmkhah +1

We present an on-chip trainable neuron circuit. Our proposed circuit suits bio-inspired spike-based time-dependent data computation for training spiking neural networks (SNN). The…

cs.ET2023★ 9 cited

Unsupervised SFQ-Based Spiking Neural Network

Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Sasan Razmkhah +2

Single Flux Quantum (SFQ) technology represents a groundbreaking advancement in computational efficiency and ultra-high-speed neuromorphic processing. The key features of SFQ techn…

quant-ph2023★ 11 cited

A Josephson Parametric Oscillator-Based Ising Machine

Sasan Razmkhah, Mehdi Kamal, Nobuyuki Yoshikawa +1

Ising machines have emerged as a promising solution for rapidly solving NP-complete combinatorial optimization problems, surpassing the capabilities of traditional computing method…

cond-mat.supr-con2023★ 10 cited

High-Density Superconductive Logic Circuits Utilizing 0 and Josephson Junctions

Sasan Razmkhah, Massoud Pedram

Superconductor Electronics (SCE) is a fast and power-efficient technology with great potential for overcoming conventional CMOS electronics' scaling limits. Nevertheless, the prima…